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欢迎收听本周的医学科技快讯！最新研究发现，一种两阶段深度学习模型在CT图像上自动检测肾上腺结节的能力表现出色。这项回顾性研究在内部数据集和外部实践中进行了测试，结果显示模型对右肾上腺结节检测的AUC达到0.98，左肾上腺结节为0.93，均具有高度敏感性和特异性。这项技术不仅提高了结节检测的准确性，还可能改善偶发性肾上腺结节的处理，为放射学领域带来革命性的变革。不要错过这一前沿进展，深入了解如何利用AI提高诊断准确性，就在今天的播客中。
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